Evidence map›Paper›PMID 34797831›Full record

ArticlePloS one2021

Spatial protein heterogeneity analysis in frozen tissues to evaluate tumor heterogeneity.

Anna Fomitcheva-Khartchenko, Maria Anna Rapsomaniki, Bettina Sobottka, Peter Schraml, Govind V Kaigala

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Single-cell western blotting of cytoplasmic cytokeratin 8 proteoforms.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anna Fomitcheva-KhartchenkoIBM Research Europe, Zurich, Rüschlikon, Switzerland.
Maria Anna RapsomanikiIBM Research Europe, Zurich, Rüschlikon, Switzerland.
Bettina SobottkaDepartment of Pathology and Molecular Pathology, University Hospital Zurich and University Zurich, Zurich, Switzerland.
Peter SchramlDepartment of Pathology and Molecular Pathology, University Hospital Zurich and University Zurich, Zurich, Switzerland.
Govind V KaigalaIBM Research Europe, Zurich, Rüschlikon, Switzerland.ORCID 0000-0003-1145-7287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new workflow for protein-based tumor heterogeneity probing in tissues is here presented. Tumor heterogeneity is believed to be key for therapy failure and differences in prognosis in cancer patients. Comprehending tumor heterogeneity, especially at the protein level, is critical for tracking tumor evolution, and showing the presence of different phenotypical variants and their location with respect to tissue architecture. Although a variety of techniques is available for quantifying protein expression, the heterogeneity observed in the tissue is rarely addressed. The proposed method is validated in breast cancer fresh-frozen tissues derived from five patients. Protein expression is quantified on the tissue regions of interest (ROI) with a resolution of up to 100 μm in diameter. High heterogeneity values across the analyzed patients in proteins such as cytokeratin 7, β-actin and epidermal growth factor receptor (EGFR) using a Shannon entropy analysis are observed. Additionally, ROIs are clustered according to their expression levels, showing their location in the tissue section, and highlighting that similar phenotypical variants are not always located in neighboring regions. Interestingly, a patient with a phenotype related to increased aggressiveness of the tumor presents a unique protein expression pattern. In summary, a workflow for the localized extraction and protein analysis of regions of interest from frozen tissues, enabling the evaluation of tumor heterogeneity at the protein level is presented.

Indexed as

Breast NeoplasmsErbB ReceptorsFemaleGenetic HeterogeneityHumansEGFR protein, humanErbB Receptors

Identifiers

PMID34797831
PMCPMC8604290

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.